176 to 200 of 673 Machine Learning Jobs in London

leading technology consultancy is seeking an experienced Machine Learning Operations Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps/AIOps), rather than building ML applications from scratch click apply for full ...

institutional VC funds and C-level executives of global technology companies. The role involves the design and development of a web-based application for Machine Learning workloads. We put strong emphasis on user experience, aesthetics and pixel-perfect design. You will be working closely with the Machine Learning team to understand the underlying concepts and user flows; however, you are not required or expected to have background in Machine Learning. This is a senior-level role, and we are looking to hire a software engineer with background in product design, UI/UX design ...

Title: Senior Machine Learning Engineer - £120,000 Base Location: Hybrid/London-based Role Type: Full-time, Permanent The Opportunity We are looking for a Senior Machine Learning Engineer to build the infrastructure and pipelines that power our AI solutions. In this role, you will move ...

Proven experience building and deploying LLM/Generative AI applications Strong hands-on expertise with LangChain, RAG architectures, and multi-agent systems Experience deploying ML solutions in cloud environments (AWS, Azure, or GCP) Familiarity with DevOps practices and tooling: Kubernetes, CI/CD, GitHub, GitOps Prior experience in client-facing … technical delivery roles Background in Machine Learning, Data Science, or AI Engineering This opportunity is ideal for a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer, or LLM Engineer who thrives on client engagement, rapid experimentation, and taking ownership of delivery in fast-paced ...

Machine Learning Engineer role sits within the deployment group, working hands-on with portfolio companies post-deal to design, build, and deploy ML solutions that improve real business outcomes. Projects are varied, impact-driven, and typically delivered over 2–6 month cycles. Key Responsibilities … ML delivery from problem definition through deployment Build and productionise models across forecasting, pricing, churn, segmentation, fraud, and NLP use cases Work closely with data engineers and cloud infrastructure to scale solutions Translate technical work into clear commercial impact for senior stakeholders Contribute to code quality, deployment standards, and best ...

performance of Optimal's AI to maximise crop yields and minimise resource consumption, working closely with our agronomy experts. Technical skills Experience training Machine Learning models. Strong background in at least one of Machine Learning, Optimisation, Control (Model Predictive Control, Optimal Control, and classical feedback techniques … Reinforcement Learning, Physics Modelling and Numerical Simulation. Software engineering in Python (Julia is a bonus) Software engineering processes and tools (containers, version control, deployments etc) AI coding Compensation Salary: £70k – £125k Equity: 0.5% – 5.0 ...

hiring a Mid-Level Data Scientist to join a growing London-based Data Science team. This role sits at the intersection of research, production ML, and high-impact short-form analysis, offering exposure to multiple projects rather than a single narrow product. You’ll work hands-on with Python … cloud-based ML systems, contributing across the full data science lifecycle — from early experimentation and proof-of-concept work through to deployment and iteration in production. There’s a strong emphasis on solid engineering fundamentals alongside classical data science skills. This is a great opportunity for a generalist data scientist ...

Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e. ...

Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e. ...

looking for a Product Data Scientist to join a growing Insights team. In this role, you'll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer-facing product ecosystem. This position sits at the intersection … Experience working on consumer-facing, mobile-first products or marketplaces. Exposure to working alongside machine learning teams or embedding data science into ML-powered product discovery. ...

closely with data engineers to define data requirements and pipelines. Performing exploratory data analysis and recreating key business KPIs. Feature engineering in collaboration with machine learning engineers, ensuring production-ready standards. Developing, deploying and maintaining machine learning models. Evaluating project impact through experimentation and A/ ...

Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain … ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural ...

Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain … ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML). NLP Expertise: 3-5 years of experience in Natural ...

Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building. Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models … Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics YOUR SKILLS & EXPERIENCE Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples ...

client within the Aviation Sector who are looking for a number of Data Scientists to join their team for an AI/Machine Learning Programme, working on Maintenance, Repair and Overhaul, improving systems and looking at automation. The project is estimated to last over two years, and will … experience with Python/Tensor Flow and Pytorch and have proven experience taking models into production. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). Demonstrated ...

client within the Aviation Sector who are looking for a number of Data Scientists to join their team for an AI/Machine Learning Programme, working on Maintenance, Repair and Overhaul, improving systems and looking at automation. The project is estimated to last over two years, and will … experience with Python/Tensor Flow and Pytorch and have proven experience taking models into production. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). Demonstrated ...

Responsibilities: Design and deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable … deployments and integration into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache ...

Data/Machine Learning Ops Engineer Location: Erskine, Scotland (Hybrid 2/3 days per week in the office) Candidates must be eligible for clearance. DXC Technology (NYSE: DXC) is a leading independent, end-to-end IT services company, helping organisations harness innovation to thrive through change click ...

concept solutions, MVPs and prototype demonstrations within short innovation cycles Lead technical delivery during workshops, discovery sessions and innovation sprints Build and deploy machine learning and generative AI solutions using large and small language models plus vision and image-based models Develop lightweight APIs within serverless or PaaS … Django Strong SQL capability including PostgreSQL or MySQL plus experience with vector databases Experience working with microservices or serverless architectures Practical exposure to machine learning plus generative AI models including LLMs SLMs vision models Familiarity with AI frameworks such as RAG LangChain LlamaIndex plus agentic frameworks Hands ...

concept solutions, MVPs and prototype demonstrations within short innovation cycles Lead technical delivery during workshops, discovery sessions and innovation sprints Build and deploy machine learning and generative AI solutions using large and small language models plus vision and image-based models Develop lightweight APIs within serverless or PaaS … Django Strong SQL capability including PostgreSQL or MySQL plus experience with vector databases Experience working with microservices or serverless architectures Practical exposure to machine learning plus generative AI models including LLMs SLMs vision models Familiarity with AI frameworks such as RAG LangChain LlamaIndex plus agentic frameworks Hands ...

working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance. They … solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions ...

want to shape how AI transforms game development at global scale? Have you built production ML systems that go beyond research prototypes? Are you ready to lead technically without taking on line management? A tier-1 global gaming and consumer technology brand is hiring a Principal Machine Learning … improve how large-scale games are tested, validated, and shipped. The focus is on automating QA through intelligent gameplay agents and advanced video-based ML systems. You will lead technically, drive delivery, and mentor others while remaining hands-on across research and production. Key Responsibilities Lead design of anomaly/ ...

environment where data plays a critical role in decision-making. Description Design and build data pipelines for real-time and historical trading data. Develop machine learning models for trade flow prediction, execution analysis, and market pattern recognition. Create dashboards and analytical tools for trading desks. Productionise models … quants, and technologists to identify data-driven opportunities. Profile Strong programming skills in Python (pandas, NumPy, scikit-learn) and SQL. Experience in data science , machine learning, and predictive modelling. Background in data engineering (ETL pipelines, streaming tech like Kafka). Familiarity with cloud platforms (AWS, Azure, GCP). ...

committed to working with partner organisations and residents to make Barnet even better. As an organisation, our staff are committed to Our Values: Learning to Improve, Caring, Inclusive, Collaborative - which drive everything we do. About the role This is an exciting time to join Barnet as we grow … technical depth with the ability to translate complex concepts into actionable recommendations for senior leaders. You'll bring: - Expertise in advanced analytics, data science, machine learning and data engineering. - Experience designing secure, scalable data solutions using platforms such as Azure, Data Factory, Synapse, Databricks or Fabric. - Strong proficiency ...

Data Scientist - Hybrid (London) - Up to £70k - Permanent We are supporting a fast-growing, consumer-focused organisation that is investing heavily in data, machine learning, and AI to drive commercial performance and operational excellence. They are looking for a technically strong and commercially minded data professional to lead … modelling Experience building and deploying end-to-end predictive models from scoping through validation and stakeholder communication Hands-on experience deploying and monitoring ML models within a cloud environment (Azure experience highly desirable) Experience building CI/CD workflows (e.g. GitHub Actions) and supporting robust MLOps practices Responsibilities: Lead data ...